The use of adaptive noise cancellers (ANCs) to reduce the noise level prior to source separation is investigated in this paper. The foetal electrocardiogram (ECG) extraction problem in particular is addressed, which as well as with noise, is compounded by the non-stationary nature of the measurements. Consequently, computer simulations show that the combined Kalman filter and natural gradient a...

In this paper we apply a recursive deconvolution method to Active Noise Cancellation (ANC) in a linear system: the observation of the output of a linear system of relative degree one, red at discrete time instants, is fed to a deconvolution algorithm which identify the disturbance (with the delay of one step). This information is used in order to reduce the effect of the disturbance itself. Dec...

A sometimes annoying problem in the most internationally widespread cellular telephone system, the GSM system, is an interfering signal generated by the switching nature of TDMA cellular telephone system. A humming noise originating from the speech frames, equivalent to 160 samples of data corresponding to 20 ms at 8 kHz sampling rate is sometimes clearly audible. This paper describes a study o...

Although a single-mode optical fiber is a convenient and efficient interface/connecting medium, it introduces phase-noise modulation, which corrupts high-precision frequency-based applications by broadening the spectrum toward the kilohertz domain. We describe a simple double-pass fiber noise measurement and control system, which is demonstrated to provide millihertz accuracy of noise cancellat...

We propose the use of a microphone array based on independent component analysis as a method for high-speed elimination of noise in speech input to mobile terminals. The effectiveness of the proposed method is confirmed by evaluation experiments that reproduce an actual mobile environment.

In Speech processing Signal to Noise (SNR )Ratio plays an important role for Noise cancellation. here an attempt is made to evaluate SNR for given Noisy Speech signal using adaptive technique Binary LMS algorithm. In this proposal , Introduces the two control parameters of the Adaptive Algorithm rather than one control parameter as in case of LMS Algorithm. Also comparirison is made with respec...

In many applications of Wiener filtering to noise cancellation an external reference noise in— put is required. However, if an external reference is not available, it is still possible to suppress additive noise using a Wiener linear prediction filter (LPF) provided the signal bandwidth is significantly less than the noise bandwidth. The purpose of this paper is to provide an analytical basis f...

In current scenario of modern technology, we are facing a necessity of noise removal in signal processing. Various approaches are used for the same. This paper describes an intelligent adaptive filtering for noise cancellation. Here ANFIS method is being used for removal of noise from audio speech signals. An audio signal contaminated with noise is taken and inspected with eight types of member...

Abstract—This paper presents development of a new adaptive structure based on multirate filter and testing the same for deterministic, speech and music signals. A new class of FIR filtering algorithm based on the multirate approach is proposed. They not only reduce the computational complexity in FIR filtering, but also retain attractive implementation related properties such as regularity and ...